What problem does it solve?
This Skill helps decide when literature-level grounding is necessary and produces compact, curated literature packs that provide representative papers, citations, and confidence for scientific claims and benchmarking conventions.
Core Features & Use Cases
- Decide when to trigger literature work: Distinguishes between lightweight web searches and paper-level grounding to avoid unnecessary deep reviews.
- Depth-guided retrieval: Recommends quick, standard, focused, or deep_report depths depending on request scope (representative papers, method conventions, focused evidence, or survey-style reviews).
- Source routing and packaging: Prefers web-first retrieval with escalation to scholarly metadata (OpenAlex/Semantic Scholar) when paper metadata or citation fidelity is required, and returns a concise literature pack for planners or writers.
Quick Start
Use the literature-grounding skill to locate representative papers, assemble a short summary and citation pack, and indicate confidence and follow-up questions.
